Data Engineer, Analytics Engineering, VP

RBS; Gurugram District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

RBS in India is seeking a Data Engineer, Analytics Engineering Lead for PBWM. You will provide strategic and technical leadership across data and analytics, define standards, governance, and data product roadmaps, shaping analytics data strategy and enterprise architecture.

You will mentor analytics engineers and data modellers, drive DataOps, implement canonical and semantic models, and enable self-service analytics, reporting, AI, and advanced data products across the organization while

Qualifications

• Extensive experience in analytics engineering, data modelling and data strategy.
• Deep expertise in canonical and semantic modelling and governed data products.
• Experience with Snowflake and modern analytics engineering practices.
• Leads DataOps, architecture governance and data quality frameworks.

Responsibilities

• Lead analytics data architecture and complex cross-domain data models.
• Define standards, governance frameworks and best practices.
• Mentor analytics engineers and data modellers.
• Champion reusable, product-based data delivery and regulatory compliance.

Skills

Analytics engineering

Data modelling

Data strategy

Data architecture

Tools

Snowflake

dbt

CI/CD

Job description

Join us as a Data Engineer, Analytics Engineering

• You’ll be the voice of our customers, using data to tell their stories and put them at the heart of all decision-making
• We’ll look to you to drive the build of effortless, digital first customer experiences
• If you’re ready for a new challenge and want to make a far-reaching impact through your work, this could be the opportunity you’re looking for
• We’re offering this role at vice president level

What you’ll do

As a Data Engineer, You’ll need extensive experience in analytics engineering, data modelling and data strategy, with deep expertise in canonical modelling, semantic modelling, governed data products, Snowflake and modern analytics engineering practices. As a Principal Analytics Engineering Lead for PBWM, you’ll provide strategic and technical leadership across the data and analytics landscape, defining standards, governance frameworks and best practices while shaping the analytical data strategy. You’ll work closely with business stakeholders, architects, engineers, analysts and governance teams to design scalable, trusted and reusable data solutions that align with enterprise architecture and business objectives. You’ll also enable self-service analytics, reporting, AI and advanced data products through robust canonical and semantic models that drive consistency, quality and business value across the organisation.

You’ll act as a senior member of the Analytics Engineering team, bringing deep expertise in analytical data architecture, canonical and semantic data modelling, data product governance, and Analytics Engineering. You’ll provide technical leadership across PBWM, partnering with senior business and technology stakeholders to align data capabilities with strategic objectives, drive enterprise data standards, and influence architecture and governance decisions. You’ll lead the design and governance of complex cross-domain data models and trusted data products, establish DataOps and analytics engineering best practices including dbt, CI/CD, testing, lineage, and data quality frameworks, and champion reusable, product-based data delivery. You’ll also mentor analytics engineers and data modellers, foster engineering excellence and innovation, and represent PBWM in enterprise architecture, governance, and data strategy forums while ensuring compliance with regulatory, privacy, and governance requirements.

Your responsibilities will also include:

• Building advanced automation of data engineering pipelines through removal of manual stages
• Embedding new data techniques into our business through role modelling, training, and experiment design oversight